Author Question: Which entropy R2 value implies perfect predictive power? a. 0 b. -1.0 c. +0.5 d. ... (Read 30 times)

moongchi · **on:** Jun 28, 2018

Which entropy R2 value implies perfect predictive power?
a. 0
b. -1.0
c. +0.5
d. +1.0

Question 2

Explain how a researcher makes causal inferences.

kjohnson · **Reply #1 on:** Jun 28, 2018

Answer to Question 1

D

Answer to Question 2

A causal inference can only be supported when very specific causal evidence exists. Three critical pieces of causal evidence are:

(1) Temporal sequence - deals with the time order of events. The cause must occur before the effect.
(2) Concomitant variation - occurs when two events covary, meaning they vary systematically. This means that when a change in the cause occurs, a change in the outcome also is observed.
(3) Nonspurious association - means that any covariation between a cause and an effect is true and not simply due to some other variable.